| Comparing Lung Cancer Screening Strategies in a Nationally Representative US Population Using Transportability Methods for the National Lung Cancer Screening Trial. |
38289605
|
Robertson SE, Joyce NR, Steingrimsson JA, Stuart EA, Aberle DR, Gatsonis CA, Dahabreh IJ |
JAMA Netw Open |
2024 |
NLST |
| Long-term Survival After Lung Cancer Resection in the National Lung Screening Trial. |
38216080
|
Potter AL, Senthil P, Keshwani A, McCleery S, Haridas C, Kumar A, Mathey-Andrews C, Martin LW, Yang CJ |
Ann Thorac Surg |
2024 |
NLST |
| Enrichment of lung cancer computed tomography collections with AI-derived annotations. |
38177130
|
Krishnaswamy D, Bontempi D, Thiriveedhi VK, Punzo D, Clunie D, Bridge CP, Aerts HJWL, Kikinis R, Fedorov A |
Sci Data |
2024 |
NLST |
| Penalized deep partially linear cox models with application to CT scans of lung cancer patients. |
38412302
|
Sun Y, Kang J, Haridas C, Mayne N, Potter A, Yang CF, Christiani DC, Li Y |
Biometrics |
2024 |
NLST |
| Association of Lung Cancer Risk With the Presence of Both Lung Nodules and Emphysema in a Lung Cancer Screening Trial. |
38545483
|
Liu Y, Feng ZW, Liu XM, Duan HY, Lyu ZY, Huang YB, Song FF, Song FJ |
World J Oncol |
2024 |
NLST |
| Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks. |
38530135
|
Krishnan AR, Xu K, Li TZ, Remedios LW, Sandler KL, Maldonado F, Landman BA |
Med Phys |
2024 |
NLST |
| Projecting the impact of multi-cancer early detection on late-stage incidence using multi-state disease modeling. |
38506751
|
Lange JM, Gogebakan KC, Gulati R, Etzioni R |
Cancer Epidemiol Biomarkers Prev |
2024 |
NLST |
| Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers. |
38480863
|
Foldyna B, Hadzic I, Zeleznik R, Langenbach MC, Raghu VK, Mayrhofer T, Lu MT, Aerts HJWL |
Commun Med (Lond) |
2024 |
NLST |
| Personalised follow-up and management schema for patients with screen-detected pulmonary nodules: A dynamic modelling study. |
38614860
|
Wang Z, Xue F, Sui X, Han W, Song W, Jiang J |
Pulmonology |
2024 |
NLST |
| A Self-supervised Learning-Based Fine-Grained Classification Model for Distinguishing Malignant From Benign Subcentimeter Solid Pulmonary Nodules. |
38777719
|
Liu J, Qi L, Xu Q, Chen J, Cui S, Li F, Wang Y, Cheng S, Tan W, Zhou Z, Wang J |
Acad Radiol |
2024 |
NLST |
| Leveraging Serial Low-Dose CT Scans in Radiomics-based Reinforcement Learning to Improve Early Diagnosis of Lung Cancer at Baseline Screening. |
38752718
|
Wang Y, Zhou C, Ying L, Lee E, Chan HP, Chughtai A, Hadjiiski LM, Kazerooni EA |
Radiol Cardiothorac Imaging |
2024 |
NLST |
| Cloud-based large-scale curation of medical imaging data using AI segmentation. |
38746269
|
Thiriveedhi VK, Krishnaswamy D, Clunie D, Pieper S, Kikinis R, Fedorov A |
Res Sq |
2024 |
NLST |
| Weakly-supervised preclinical tumor localization associated with survival prediction from lung cancer screening Chest X-ray images. |
38729092
|
Hermoza R, Nascimento JC, Carneiro G |
Comput Med Imaging Graph |
2024 |
NLST |
| Overall and non- lung cancer incidence and mortality in the National Lung Screening Trial: Opportunities for multi-cancer early detection |
|
Alpa V. Patel 1 | Ellen T. Chang 2 | Allan Hackshaw 3 | Sam M. Janes 4 |Diana S. M. Buist 2 | Earl Hubbell 2 | Christina A. Clarke 2 | Graham A. Colditz 5 |
Cancer Med. |
2024 |
NLST |
| OWL: an optimized and independently validated machine learning prediction model for lung cancer screening based on the UK Biobank, PLCO, and NLST populations. |
36701900
|
Pan Z, Zhang R, Shen S, Lin Y, Zhang L, Wang X, Ye Q, Wang X, Chen J, Zhao Y, Christiani DC, Li Y, Chen F, Wei Y |
EBioMedicine |
2023 |
NLST, PLCO |
| Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography. |
36634294
|
Mikhael PG, Wohlwend J, Yala A, Karstens L, Xiang J, Takigami AK, Bourgouin PP, Chan P, Mrah S, Amayri W, Juan YH, Yang CT, Wan YL, Lin G, Sequist LV, Fintelmann FJ, Barzilay R |
J Clin Oncol |
2023 |
NLST |
| Updated cost-effectiveness analysis of lung cancer screening for Australia, capturing differences in the health economic impact of NELSON and NLST outcomes. |
36323879
|
Behar Harpaz S, Weber MF, Wade S, Ngo PJ, Vaneckova P, Sarich PEA, Cressman S, Tammemagi MC, Fong K, Marshall H, McWilliams A, Zalcberg JR, Caruana M, Canfell K |
Br J Cancer |
2023 |
NLST |
| GraphLSurv: A scalable survival prediction network with adaptive and sparse structure learning for histopathological whole-slide images. |
36841107
|
Liu P, Ji L, Ye F, Fu B |
Comput Methods Programs Biomed |
2023 |
NLST |
| Risk Model-Based Lung Cancer Screening : A Cost-Effectiveness Analysis. |
36745885
|
Toumazis I, Cao P, de Nijs K, Bastani M, Munshi V, Hemmati M, Ten Haaf K, Jeon J, Tammemägi M, Gazelle GS, Feuer EJ, Kong CY, Meza R, de Koning HJ, Plevritis SK, Han SS |
Ann Intern Med |
2023 |
NLST |
| An improved 3-D attention CNN with hybrid loss and feature fusion for pulmonary nodule classification. |
36463674
|
Huang YS, Wang TC, Huang SZ, Zhang J, Chen HM, Chang YC, Chang RF |
Comput Methods Programs Biomed |
2023 |
NLST |
